A researcher was interested in determining whether stress levels significantly vary depending on the day of the week. The researcher randomly selected 10 employees from a company to participate in the 1-week study. Each participant completed a brief 5-point stress survey at the end of each workday (M-F), indicating their perceived stress for that day.
Repeated Measures ANOVA summary table
Source of variability | SS | df | MS | F | η2 | p-value | Is the effect significant? Y/N
Between Treatments | 36.68 | 4 | 9.17 | 10.278 | 0.5331 | < .001 | Y
Within Treatments | 42.7 | 45 | 0.9489 | - | - | - | -
Between subjects | 10.58 | 9 | 1.1756 | - | - | - | -
Error | 32.12 | 36 | 0.8922 | - | - | - | -
Total | 79.38 | 49 | - | - | - | - | -
Interpret the results and report the F value and p-value (provided in the table) in proper APA format.
Interpret the effect size in terms of the percent of variability accounted for by the IV.
3. The results from the post hoc test along with the descriptive table are presented below. Based on this information, summarize the results of the post hoc test (include the mean and SD for each condition in the summary).
Descriptives
Day of the Week | Mean | SD | N
Friday | 1.500 | 0.707 | 10
Monday | 4.200 | 1.033 | 10
Thursday | 2.700 | 1.160 | 10
Tuesday | 2.900 | 0.994 | 10
Wednesday | 2.800 | 0.919 | 10
Post Hoc Comparisons - Day of the Week
Mean Difference | SE | t | p holm
Monday | Tuesday | 1.300 | 0.422 | 3.077 | 0.024
Wednesday | 1.400 | 0.422 | 3.314 | 0.017
Thursday | 1.500 | 0.422 | 3.551 | 0.010
Friday | 2.700 | 0.422 | 6.392 | < .001
Tuesday | Wednesday | 0.100 | 0.422 | 0.237 | 1.000
Thursday | 0.200 | 0.422 | 0.473 | 1.000
Friday | 1.400 | 0.422 | 3.314 | 0.017
Wednesday | Thursday | 0.100 | 0.422 | 0.237 | 1.000
Friday | 1.300 | 0.422 | 3.077 | 0.024
Thursday | Friday | 1.200 | 0.422 | 2.841 | 0.029